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Which servers in the official MCP registry are Mcp's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-19

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Whose server it is
  • Registry namefilm.mcp/directoryverified in the MCP registry

The registry name sits under mcp.film. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-19
  • Stateanswerschecked 2026-10-19
  • Tools15
  • Server calls itselfmcp-film
  • Server version1.5.1
  • Protocol version2025-06-18

On 2026-10-19 the server answered initialize and tools/list without a sign-in. First answer in 150 ms.

Should an agent connect itNot proven either way yet
  • Its tools do find MCP servers for each step of a film pipeline, but not generate lip-synced talking-head videos and publish them to social; review and share cuts with timestamped comments.
  • Checked on 3 of the 7 days it takes to judge reliability.

Once connected

  • For "find MCP servers for each step of a film pipeline", the likely first call is plan_film_stack.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 3, the first on 2026-10-19
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
  • What an agent can do with it1 of 3 use cases
  • Use42 npm downloads a week6 GitHub stars
  • Answeredmeasuring3 of the 7 daily checks it takes to print a share
  • Median first answer331 ms
  • Space in an agent's context≈ 1,892 tokensthe definitions of all its tools (15), which an agent carries on every turn
  • Tool definitionsA · 98 of 100
  • Typed results0 of 15 toolsdeclared outputSchema: results come typed, read once
  • Parameters without a description: in 2 of 15

What an agent can do with it

  • can do · find MCP servers for each step of a film pipeline
  • cannot · generate lip-synced talking-head videos and publish them to social
  • cannot · review and share cuts with timestamped comments

Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers15 tools · read 2026-10-19
  • search_film_mcps

    Search the mcp.film directory of MCP servers for AI filmmaking. Filter by free-text query (matches name, vendor, tagline, capabilities), category id, or capability. Returns compact entries; use get_film_mcp for full detail.

  • get_film_mcp

    Get the full mcp.film entry for one server by slug: description, install commands, auth requirements, sample tools, links, and field notes (caveats).

  • list_film_categories

    List all mcp.film categories with ids, pipeline stage, and per-category agent hints.

  • list_film_capabilities

    List capability tags in the mcp.film registry, ranked by number of matching servers. Use get_film_capability for the server cluster behind one tag.

  • get_film_capability

    Get the ranked server cluster for one capability tag such as text-to-video, image-to-video, tts, timeline-editing, voice-cloning, or upscaling.

  • get_install_config

    Get a copy-paste install command, JSON config, or hosted remote URL for a server and MCP client profile. Includes required env vars and auth type.

  • list_client_profiles

    List the MCP client setup profiles mcp.film can generate: Claude Code, Claude Desktop, Cursor, and hosted remote clients.

  • submit_listing

    Propose a new MCP server for the mcp.film directory. Validates your proposal against the schema and the live registry (including duplicate detection), then returns a ready-to-file GitHub issue payload (REST API body, gh CLI command, and…

  • get_catalog_pulse

    Get the mcp.film operating pulse: catalog freshness, demand signals, curator agenda, Martini growth checks, and machine-readable surfaces. Use this before deciding what to update next.

  • list_film_playbooks

    List mcp.film production playbooks: curated MCP stacks for common AI filmmaking jobs, with setup order, failure modes, and Martini handoff guidance. Use get_film_playbook for full steps and auth gates.

  • get_film_playbook

    Get one production playbook by id, including primary servers, setup order, auth gates, workflow steps, failure modes, fallback servers, constraints, and links to each server's mcp.film page.

  • list_film_recommendations

    List mcp.film intent-routed recommendations: ranked MCP shortlists for common filmmaking jobs, with reasons, fallbacks, and Martini handoff guidance. Use get_film_recommendation for full detail.

  • get_film_recommendation

    Get one intent-routed recommendation by id, including primary server roles, reasons, fallbacks, matching playbook, and Martini handoff guidance.

  • recommend_film_mcps

    Given a filmmaking brief, return the closest intent-routed MCP recommendations and the first servers to connect. Use hosted_only=true when the agent cannot spawn local tools.

  • plan_film_stack

    Get a recommended set of MCP servers covering the whole film pipeline (develop → visualize → shoot → sound → cut → finish → ship). Returns 1-3 picks per stage, ranked by official status and hosting. Pass a brief to bias picks (matched…

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

{
  "mcpServers": {
    "directory": {
      "type": "http",
      "url": "https://mcp.film/mcp"
    }
  }
}

Add it

Claude Code, in a terminal

claude mcp add --transport http mcp https://mcp.film/mcp

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://mcp.film/mcp as a custom connector in the settings.

Also shipped through: npm

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.